A polynomial regression-based approach to estimate relaxation rate maps suitable for multiparametric segmentation of clinical brain MRI studies in multiple sclerosis

Maria Agnese Pirozzi, Mario Tranfa, Mario Tortora, Roberta Lanzillo, Vincenzo Brescia-Morra, Arturo Brunetti, Bruno Alfano, Mario Quarantelli. A polynomial regression-based approach to estimate relaxation rate maps suitable for multiparametric segmentation of clinical brain MRI studies in multiple sclerosis. Computer Methods and Programs in Biomedicine, 223:106957, 2022. [doi]

@article{PirozziTTLMBAQ22,
  title = {A polynomial regression-based approach to estimate relaxation rate maps suitable for multiparametric segmentation of clinical brain MRI studies in multiple sclerosis},
  author = {Maria Agnese Pirozzi and Mario Tranfa and Mario Tortora and Roberta Lanzillo and Vincenzo Brescia-Morra and Arturo Brunetti and Bruno Alfano and Mario Quarantelli},
  year = {2022},
  doi = {10.1016/j.cmpb.2022.106957},
  url = {https://doi.org/10.1016/j.cmpb.2022.106957},
  researchr = {https://researchr.org/publication/PirozziTTLMBAQ22},
  cites = {0},
  citedby = {0},
  journal = {Computer Methods and Programs in Biomedicine},
  volume = {223},
  pages = {106957},
}